Description

Key Responsibilities

* Define enterprise and solution architecture for automotive, industrial, and manufacturing applications.

* Design and lead scalable full-stack applications using modern frontend and backend technologies.

* Enable shopfloor to top-floor integration, connecting manufacturing equipment, production systems, and operational technology with enterprise IT applications.

* Design integrations across Manufacturing Execution Systems (MES), Enterprise Resource Planning (ERP), Product Lifecycle Management (PLM), quality management, supply chain, and Industrial IoT platforms.

* Translate business and manufacturing requirements into scalable, secure, and maintainable technical architectures.

* Establish architecture standards, reference architectures, technology roadmaps, and engineering best practices.

* Lead application modernization, cloud adoption, microservices implementation, and API-led integration initiatives.

* Collaborate with manufacturing stakeholders, plant operations, engineering teams, business leaders, and enterprise IT teams.

* Ensure security, performance, scalability, reliability, interoperability, and compliance with enterprise architecture standards.

* Provide technical leadership, review architecture and code, mentor development teams, and guide implementation decisions.

* Support real-time manufacturing data integration, production monitoring, operational visibility, and Industry 4.0 initiatives.

Required Technical Skills

Full Stack Engineering

* Strong experience with frontend technologies such as React, Angular, or equivalent.

* Backend development expertise in Java/Spring Boot, .NET Core, Node.js, or equivalent.

* Experience designing REST APIs, microservices, event-driven architectures, and distributed applications.

* Strong understanding of relational and NoSQL databases, data modelling, and application performance optimization.

Enterprise Architecture

* Experience in enterprise architecture, solution architecture, application architecture, and technology strategy.

* Strong knowledge of architectural patterns, domain-driven design, microservices, and API-led connectivity.

* Ability to develop architecture diagrams, integration designs, technical specifications, and solution blueprints.

* Experience with legacy modernization, enterprise integration, system interoperability, and non-functional requirements.

Cloud & DevOps

* Experience with AWS, Microsoft Azure, or Google Cloud Platform.

* Knowledge of Docker, Kubernetes, CI/CD pipelines, Git, and infrastructure as code.

* Understanding of cloud security, identity and access management, observability, monitoring, and logging.

Automotive & Industrial Manufacturing Domain

* Strong experience in automotive, industrial, or discrete manufacturing environments.

* Understanding of manufacturing operations, production planning, shop-floor execution, quality, inventory, and supply chain processes.

* Experience integrating shop-floor systems with top-floor enterprise applications and business intelligence platforms.

* Familiarity with MES, ERP, PLM, SCADA, Industrial IoT, and manufacturing data platforms.

* Understanding of Industry 4.0, smart manufacturing, real-time production monitoring, traceability, and operational analytics.

* Knowledge of industrial integration standards such as OPC UA, ISA-95, and related manufacturing interoperability practices is preferred.

* Experience with Parker and BISS-related environments or platforms, where applicable, is an advantage.

Shop-Floor to Top-Floor Integration

The candidate should understand how to connect operational technology (OT) and information technology (IT) across the manufacturing enterprise.

Key areas include:

* Shop-floor systems: machines, sensors, PLCs, SCADA, production equipment, and industrial data sources.

* Manufacturing execution: MES, production tracking, quality control, work orders, and traceability.

* Enterprise systems: ERP, PLM, supply chain, business applications, reporting, and analytics.

* Data integration: real-time data collection, API integration, event streaming, and secure data exchange.

* Architecture: reliable communication between plant-level systems and enterprise platforms, with appropriate security and governance.

Preferred Qualifications

* Experience supporting global automotive or industrial manufacturing clients.

* Experience with enterprise-scale manufacturing transformation and application modernization.

* Knowledge of manufacturing platforms and ecosystems such as SAP, Siemens, Rockwell Automation, PTC, or equivalent.

* Familiarity with OT/IT convergence, industrial cybersecurity, and enterprise data governance.

* Strong stakeholder management and communication skills across business, plant operations, and engineering teams.

* Bachelor’s or Master’s degree in Computer Science, Engineering, or a related field, or equivalent practical experience

Key Skills

Education

Bachelor's or Master's degrees